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  1.  19
    Přemýšlet o věcech různými způsoby: Rozhovor s Hasokem Changem.Hasok Chang & Patrik Čermák - 2023 - Teorie Vědy / Theory of Science 45 (1):115-123.
    An interview with Hasok Chang, Professor of History and Philosophy of Science at the University of Cambridge, on the occasion of the 10th anniversary of the publication of his book Is Water H2O?, which won the Fernando Gil International Prize for the Philosophy of Science. So far, the last work of prof. Changa is a book of Realism for Realistic People. A New Pragmatist Philosophy of Science, published in late 2022 by Cambridge University Press.
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  2.  14
    Von Neumann, Turing a Gödel: o mysli a strojích.Barbora Jurková & Lukáš H. Zámečník - 2023 - Teorie Vědy / Theory of Science 45 (1):3-36.
    The paper discusses some of the poorly explored links between the conceptual systems of logic in Kurt Gödel, the theory of automata in Alan Turing, and the theory of self-reproducing automata in John von Neumann. Traditional controversies are left aside (especially the opposition of Gödel and Turing in the view of mind) and attention is focused on the similarities between all three authors. In individual chapters, the text deals with: the form of differentiation of syntax and semantics in formal system (...)
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  3.  5
    Konečně o nekonečnu. Leibnizův dialog Pacidius Philalethi vychází v českém překladu.Jitka Kadlečíková - 2023 - Teorie Vědy / Theory of Science 45 (1):125-131.
    Book review:Leibniz, Gottfried Wilhelm. Pacidius Philalethi – Pacidius Philalethovi. Přeložil Jan Makovský. Praha: Oikoymenh, 2019. 341 stran.
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  4.  6
    The Subjective Perception of Music: Stanislav Vomela and Subjective Research in Psychophysiology in 1930s Czechoslovakia.Ivan Loginov - 2023 - Teorie Vědy / Theory of Science 45 (1):95-114.
    This paper explores the subjective psychophysiological research of the so-called subjective audition conducted by the Czech physician and endocrinologist Stanislav Vomela in the 1930s. It examines Vomela’s attempts to analyze his own peculiar experience of hearing what he called subjective music (music heard only by the subject) and introduces the concept of acousmatics Vomela developed to study this kind of auditory perception. Vomela’s methodology is studied against the background of J. E. Purkyně’s understanding of the subjective empiricist methodology of self-knowing (...)
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  5.  3
    Axiom výběru a hypotéza kontinua – souvislosti a rozdíly.Tereza Slabá - 2023 - Teorie Vědy / Theory of Science 45 (1):67-93.
    We compare two well-known set-theoretical statements, namely the axiom of choice and the continuum hypothesis, with regard to their historical development and formulation, as well as their consequences in mathematics. It is known that both statements are independent from the other axioms of set theory (if they are consistent). The axiom of choice – despite initial controversies – is today almost universally accepted as an axiom. However, the status of the continuum hypothesis is more complex and no agreement has been (...)
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  6.  14
    Quentin Skinner’s Attempt to Clarify Collingwood.David Černín - 2023 - Teorie Vědy / Theory of Science 1 (1).
    This paper examines the methodological propositions of Quentin Skinner, whose influence on intellectual history, including the history and philosophy of science (HPS), cannot be disregarded. It is well known that Skinner’s method is based on John L. Austin’s theory of speech acts. Nonetheless, the very idea of applying ordinary language philosophy to the subject matter of history rests on other assumptions that form Skinner’s philosophy of historiography. The paper focuses on reconstructing this philosophy of historiography and especially on R. G. (...)
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  7.  4
    Vývoj a interpretace pojmu pravděpodobnost.František Mošna - 2023 - Teorie Vědy / Theory of Science 1 (1).
    Úvahy spojené s náhodností se v evropské historii objevují poměrně pozdě, na přelomu středověku a novověku. Týkají se zpočátku šancí výhry v různých hrách či situacích a později přecházejí k zavedení pravděpodobnosti klasické a geometrické. Počet pravděpodobnosti je z matematického hlediska završen Kolmogorovovou axiomatickou teorií. Ve způsobu vnímání a interpretace pravděpodobnosti však přetrvává mnoho otevřených otázek, problémů a paradoxů, jako například řešení Bertandovy úlohy. Čtyři hlavní směry v pojetí pravděpodobnosti (logické, četnostní, subjektivní a propenzitní) úzce souvisejí se způsobem vnímání náhodnosti (...)
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  8.  93
    Critical Contextual Empiricism and the Politics of Knowledge.Matthew Sample - 2023 - Teorie Vědy / Theory of Science 1 (1).
    What are philosophers doing when they prescribe a particular epistemology for science? According to science and technology studies, the answer to this question implicates both knowledge and politics, even when the latter is hidden. Exploring this dynamic via a specific case, I argue that Longino’s “critical contextual empiricism” ultimately relies on a form of political liberalism. Her choice to nevertheless foreground epistemological concerns can be clarified by considering historical relationships between science and society, as well as the culture of academic (...)
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  9.  6
    Cantorův diagonální důkaz.Marta Vlasáková - 2023 - Teorie Vědy / Theory of Science 1 (1).
    Cantor's diagonal proof is sig­nificant both because the central method of proof used in it has been subsequently applied in a number of other proofs, and because it is considered to confirm the existence of infinite sets whose size fun­ damentally and by an order of magnitude exceeds the size of the "classical" infinite set represented by all natural numbers, while their size can theoretically exceed every conceivable limit. Although Can­tor's proof is generally accepted by the scientific community, some experts (...)
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  10.  6
    Zjednodušující předpoklady v nekauzálních vysvětleních.Martin Zach & Lukáš H. Zámečník - 2023 - Teorie Vědy / Theory of Science 1 (1).
    Scientific knowledge relies heavily on models, shaped by simplifying assumptions, with common categories being abstraction and idealization. This article aims to expose conceptual challenges inherent in conventional interpretations of these concepts, particularly in their practical application to scientific modeling. The primary hurdle emerges in applying these categories to real­world instances of scientific modeling, which we illustrate with examples of non­causal explanations. Key issues revolve around (i) the ambiguous distinction between abstraction and idealization and (ii) the application of the simplifying assumption (...)
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